Instructions to use chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc81cbe257750a28bda98c44b5ca61e9fc71a979253cd0eff23c24cb04795fe5
- Size of remote file:
- 84 MB
- SHA256:
- 257f6bf6050b7acf4726ea4a591310742776cfbb3aa55a3ae6c1d8c4c87cc2e0
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